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💡[Feature]: Interactive Decision Tree generator #1606
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Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊 Note: I Maintain the repo issue twice a day, or ideally 1 day, If your issue goes stale for more than one day you can tag and comment on this same issue. You can also check our CONTRIBUTING.md for guidelines on contributing to this project. |
This is my own implementation of creating the interactive HTML decision tree using my experience with Machine learning of 1.5 years, additionally the research it took me to gather resources to create this, I would like to get Level 3 for this sir @sanjay-kv |
see the pinned issue |
should I close this and focus on the website enhancements only @sanjay-kv |
Hello @yashksaini-coder! Your issue #1606 has been closed. Thank you for your contribution! |
Is there an existing issue for this?
Feature Description
Tech stack : HTML, Javascript, Python, Jupyter
Objective : To create an interactive HTML decision tree model
Summary : This python package allows user to create an interactive HTML decision tree
Use Case
To create an interactive HTML decision tree graph, user can scroll and look to different features that branches off to another decisive factor
Benefits
To allow users to interact with decision tree chart & figures interactively
Add ScreenShots
HTML-decision-tree.webm
Priority
High
Record
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